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Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions

Research article (Procedia Computer Science, 2023) · cited 19× · AI/ML
academia openalex:W4366149100
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Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions

Summary

Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions is a scholarly article[1].

Key Facts

  • Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions. Retrieved May 24, 2026, from https://4ort.xyz/entity/traffic-congestion-prediction-based-on-multivariate-modelling-and-neural-networks-regressions
MLA “Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/traffic-congestion-prediction-based-on-multivariate-modelling-and-neural-networks-regressions.
BibTeX @misc{4ortxyz_traffic-congestion-prediction-based-on-multivariate-modelling-and-neural-networks-regressions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions}}, year = {2026}, url = {https://4ort.xyz/entity/traffic-congestion-prediction-based-on-multivariate-modelling-and-neural-networks-regressions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions — https://4ort.xyz/entity/traffic-congestion-prediction-based-on-multivariate-modelling-and-neural-networks-regressions (retrieved 2026-05-24)

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